Alternatives and similar repositories for chainer-differentiable-mpc

Users that are interested in chainer-differentiable-mpc are comparing it to the libraries listed below

• keio-ytlab / study_group_of_model-based_rl
  Study Group of Model-based RL, 高橋研究室のモデルベース強化学習勉強会のスライドのまとめです
  ☆25Updated 5 years ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆33Updated 5 years ago
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆39Updated 5 years ago
• modestyachts / robust-adaptive-lqr
  Implementation of robust adaptive control methods for the linear quadratic regulator
  ☆38Updated 3 years ago
• befelix / Safe-RL-Benchmark
  A library to benchmark reinforcement learning algorithms
  ☆21Updated 7 years ago
• befelix / safe-exploration
  Safe Exploration with MPC and Gaussian process models
  ☆90Updated 4 years ago
• harwiltz / stable-dynamics-models
  PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models)…
  ☆16Updated 5 years ago
• StanfordASL / CoCo
  ☆36Updated 2 years ago
• peisuke / vin
  ☆13Updated 8 years ago
• vroulet / ilqc
  Iterative Linearized Control Toolbox
  ☆37Updated 10 months ago
• cagatayyildiz / npode
  Learning unknown ODE models with Gaussian processes
  ☆26Updated 6 years ago
• chainer / chainerrl-visualizer
  ☆54Updated 2 years ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆53Updated 4 years ago
• mcgillmrl / robot_learning
  ROS package for robot learning
  ☆17Updated 5 years ago
• n-takeishi / learning-kis
  Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
  ☆40Updated 3 years ago
• JoeMWatson / input-inference-for-control
  Input Inference for Control (i2c), a control-as-inference framework for optimal control
  ☆23Updated last year
• sisl / mechamodlearn
  Structured framework for learning mechanical systems in PyTorch
  ☆26Updated 6 years ago
• ManshaP / KoopmanNets
  project for my essay on how to use neural networks to linearise nonlinear dynamical systems
  ☆9Updated 4 years ago
• irom-princeton / PAC-Bayes-Control
  Code for the PAC-Bayes Control paper.
  ☆13Updated 2 years ago
• young-j-park / 18-NeurIPS-APIAE
  ☆21Updated 6 years ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 4 years ago
• Rowing0914 / Reinforcement_Learning
  Research repo of RL
  ☆22Updated 2 years ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆23Updated 4 years ago
• cvxgrp / cocp
  Source code for the examples accompanying the paper "Learning convex optimization control policies."
  ☆84Updated 2 years ago
• anassinator / pddp
  WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
  ☆15Updated 10 months ago
• david-abel / transfer_rl_icml_2018
  A codebase for experimenting with various approaches to action priors.
  ☆18Updated 6 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆45Updated 4 years ago
• YunzhuLi / CompositionalKoopmanOperators
  [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control
  ☆90Updated 4 years ago
• pnnl / deps_arXiv2020
  Differentiable predictive control (DPC) policy optimization examples.
  ☆53Updated last year
• ericjang / e2c
  TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆65Updated 9 years ago